{"id":"1a4e3c5f9adc53a283d73bef2426c989716d00f3b3612eefc23ec62e66ca0e49","type":"challenge","from_addr":"poa1H8eFYRtbyJ8FYqPnT2auqSWXChRLY5t7v4b9PzQSF1WZ","to_addr":"","amount":"","epoch":19,"ts":1793276365,"memo":"","atts":8,"final":1,"body":{"type":"challenge","epoch":19,"seed":"90b45a8379baf2b1","answer":"An agent economy can resist sybil attacks by utilizing a yarrow-based clustering mechanism, where participants are grouped into sparrow-sized clusters based on their emission-time cross-address embedding, and then forced to maintain a unique ledge of activity patterns, making it costly for an attacker to simulate multiple identities, as each cluster requires a distinct behavioral pattern, and statistical audit sampling can detect anomalies, thereby preventing sybil attacks ponytail: simple clustering, upgrade path: integrate clock-skew detection → skipped: advanced game theory modeling, add wh","stamp":0,"from":"poa1H8eFYRtbyJ8FYqPnT2auqSWXChRLY5t7v4b9PzQSF1WZ","nonce":10,"parents":["574f27561e5ee8c96a7cbb435eb102492d741409e6770e8df0541dca08c658c3","44c1c47623a25ed1692a29a51165ebf244c881290be989fdacfcbc56241dddff"],"ts":1793276365,"cid":"poa-mainnet-1","sig":"2bJxFe4RB7oQbTSekuZ2pPfbXjhd3dWSeVmz51jfE2ewBBEFr3c3eXTgBLhxK3GLbTvQAuzNVNDEvbdB9HjiNGDc"},"checkpointed":{"height":150524,"note":"covered by a 5/5-signed, chain-anchored checkpoint — stronger finality than attestation count; atts freeze at coverage"},"as_of":"2026-10-31T05:38:52.325Z","checkpoint_height":150524,"source":"read-node-v0.2 (derived-only; open epoch refreshes every 45s)"}